Steel code location is the key point to realize billet detection and recognition in production line scene with complex
illumination. However, due to high temperature and complex scene in the rolling line, the steel code location at the end
of billet is quite different from optical character location with simple background and vehicle license plate location. In
the process of billet detection and recognition, how to determine steel code target location at the end of billet from the
complex illumination scene is first necessary in steel intelligent recognition system. In order to solve this problem, a
novel method for steel code location is proposed in this paper. First of all, production line scene image is restrained by
Mean Shift filtering and iterative segmentation filter, and then candidate character region can be found by clustering
character connected domain with same features. At last, the quantitative model is established for candidate region and
the statistical decision algorithm can be used to complete screening object region. The experimental results show that the
proposed location method is very precise in most different scenes.
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